Post Processing: from data to result
We bring order to your data to offer you a clear and immediate vision, ready to improve performance and processes.
Engine of Post-Processing
Write custom data transformation logic in Python. Access scientific libraries like Pandas, NumPy, SciPy and integrate ML models with TensorFlow or scikit-learn.
Custom Python Scripts
Write your business logic in pure Python
Scientific Libraries
Pandas, NumPy, SciPy, scikit-learn pre-installed
Hot Reload
Update scripts without stopping processing
Integrated versioning
Git integration to track all changes
Python Script Example
Advantages of Post-Processing
Why invest in a customizable post-processing engine
Total Flexibility
Write any business logic in Python without constraints
Performance
Parallel processing and intelligent caching
Versioning
Track every change with Git integration
Hot Reload
Update scripts without downtime
Scalability
From a few MB to hundreds of GB per day
Data Quality
Automatic data validation and cleaning
Transformations in Real-Time
Examples of processing applied to industrial data
Examples of Transformation
The post-processing engine applies complex transformations in real time, calculating advanced metrics, enriching data and generating actionable insights.
OEE e Performance
94.2%Calculate Overall Equipment Effectiveness, availability, performance and quality in real-time
Predictive Analysis
78/100Machine learning to predict failures and optimize preventive maintenance
Energy Optimization
-12%Correlate consumption, production and costs to maximize energy efficiency
Quality Control
99.5%Identify correlations between process parameters and quality defects
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Free 14 day demo | No payment required
Free workshop with our consultants who will advise you on how to quickly integrate Muvia into your system
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